Accuracy Improvement of Power Transformer Faults Diagnostic Using KNN Classifier With Decision Tree Principle
Dissolved gas analysis (DGA) is the standard technique to diagnose the fault types of oil-immersed power transformers.Various traditional DGA methods have been employed to detect the transformer faults, but their accuracies were mostly poor.In this light, the current work aims to improve the diagnostic accuracy of power transformer faults using art